Links to Slides, Papers, Videos, Podcasts, and other posts

Find content by the team.

Slides/Papers

MDSFest’23

Title:

dbt + Hamilton: Enabling you to maintain complex Python within dbt models

LLM Avalanche

Title:

Hamilton: an OS tool to add to your LLM App tool belt

Budapest ML Forum June 2023

Title:

Feature Engineering with Hamilton: Portability & Lineage

Manchester PyData Meetup May/June 2023

Title:

British Cycling Data Platform in Python

Co-presented with Peter Robinson, and Murray Tait.

PyData Seattle 2023

Title:

Lightweight Lineage with Hamilton

AI Camp Meetup San Jose January 2023

Title:

Hamilton: Natively bringing software engineering best practices to python data transformations

Feature Store Summit October 2022

Title:

Hamilton: an open source, declarative, micro-framework for clean & robust feature transform code in Python

VLDB 2022

DEco - First International Workshop on Data Ecosystems

Title:

Hamilton: enabling software engineering best practices for data transformations via generalized dataflow graphs

Angle: Software engineering is important to think about when managing a data ecosystem.

CDMS - First International Workshop on Composable Data Management Systems

Title:

Hamilton: a modular open source declarative paradigm for high level modeling of dataflows

Angle: Interesting UX that enables a platform team to compose & modularize not only a dataflow, but subsystems.

Scalable Pandas Meetup - August 2022

Title:

Hamilton: A Python Micro-Framework for tidy scalable Pandas

Ray Summit August 2022

Title:

Scalable feature engineering with Hamilton on Ray

MLOPsWorld Bay Area July 2022

Title:

Hamilton: A Python Micro-Framework for Data / Feature Engineering

AICamp May 2022

Title:

Hamilton: a python micro-framework for data / feature engineering at Stitch Fix

Apply(Meetup) February 2022

Title:

[Open Source] Hamilton, a micro framework for creating dataframes, and its application at Stitch Fix

SF Python Meetup December 2021

Title:

Hamilton an open source micro framework for creating dataframes

Podcasts

Guest Posts